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Automatic Text Summarization

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 1
Year of Publication: 2017
Authors:
Roshna Chettri, Udit Kr. Chakraborty
10.5120/ijca2017912326

Roshna Chettri and Udit Kr. Chakraborty. Automatic Text Summarization. International Journal of Computer Applications 161(1):5-7, March 2017. BibTeX

@article{10.5120/ijca2017912326,
	author = {Roshna Chettri and Udit Kr. Chakraborty},
	title = {Automatic Text Summarization},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2017},
	volume = {161},
	number = {1},
	month = {Mar},
	year = {2017},
	issn = {0975-8887},
	pages = {5-7},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume161/number1/27110-2017912326},
	doi = {10.5120/ijca2017912326},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Summarization is the art of abstracting key content from one or more information sources [6]. Summarization includes text summarization, image summarization, and video summarization. Text summarization is one of application of natural language processing and is becoming more popular for information condensation [1].Information is accessible in great quantity for every topic on internet assembly the key information in the form of summary would benefit a number of users. Automatic text summarization system generates a summary, i.e. it contains short length text which comprises all the key information of the document. Summary can be generated through extractive as well as abstractive methods.

References

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Keywords

Extractive, Abstractive, natural language processing